Recent Research Study on AI-based Crime Scene Evidence Detection

Thangavel Murugan, Fotoon Khaleifah Abdulla Mosabbas Aldahmani, Ghalya Salem Mohamed Alshuraiqi Almehrzi, Eiman Mohamed Salem Mohamed Alsereidi, Aaesha Abdulla Khalfan Ali Aldahmani, Eiman Mubarak Masoud Alahbabi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Traditional crime scene evidence detection methods are time-consuming and prone to human error. In recent years, artificial intelligence (A I) has revolutionized crime scene investigation by improving the detection and analysis of evidence. This review paper examines recent studies on AIbased evidence detection from key crime scenes, such as weapons, footprints, and bloodstains. Researchers have used advanced AI algorithms to develop innovative techniques for accurately identifying and documenting these crucial pieces of evidence, which helps law enforcement agencies solve criminal cases more efficiently. The paper discusses various AI models and technologies for detecting weapons, footprints, and bloodstains at crime scenes, highlighting their strengths, limitations, and potential for future advancements. Overall, the paper emphasizes the importance of AI in enhancing crime scene investigation processes and advocates for further research and development in this rapidly evolving field to maximize its potential impact on criminal justice systems worldwide.

Original languageEnglish
Title of host publicationProceedings - 7th International Conference on Advanced Communication Technologies and Networking, CommNet 2024
EditorsFaissal El Bouanani, Fouad Ayoub
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350367027
DOIs
Publication statusPublished - 2024
Event7th International Conference on Advanced Communication Technologies and Networking, CommNet 2024 - Hybrid, Rabat, Morocco
Duration: Dec 4 2024Dec 6 2024

Publication series

NameProceedings - 7th International Conference on Advanced Communication Technologies and Networking, CommNet 2024

Conference

Conference7th International Conference on Advanced Communication Technologies and Networking, CommNet 2024
Country/TerritoryMorocco
CityHybrid, Rabat
Period12/4/2412/6/24

Keywords

  • artificial intelligence
  • bloodstains
  • crime scene
  • evidence
  • footprint
  • weapon

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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